Applied Statistics (With Thesis) Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 10 k / Year(s) Foreign:$ 10 k / Year(s)  
StudyQA ranking:3981 Duration:2 years

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Statistical Analysis is one of the basic means of the modern scientific thinking, together with stochastic modeling. Statistical techniques, because of the need of getting accurate and coherent results from the acquired data, are beneficial in many fields, such as: business administration, economics, computer, medical sciences, actuary, and administration.

One of the factors behind the need of statistics science is both the theoretical and the practical nature of it. Applied statistics is frequently used by the researchers and administrators, in the process of interpreting and controlling the related stochastic phenomenon. Theoretical statistics presents new procedures by the help of advanced mathematical and calculating methods.

The purpose of this program is to educate students in the fields of statistics and theory of probabilities and applied statistics. Students may carry on their studies by majoring on one of the fields of applied statistics, such as: theoretical statistics or statistical quality control, bioinformatics, biostatistics, statistical reliability, econometrics. Making the students ready for an academic career and giving them the ability of making researches in different scientific branches are among the purposes of this program. Students are also provided with information transfer in the field of statistics, needed by the consultancy and industry companies.

 

To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.

1. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 001   Elective Course I 3 0 3 7.5
ELEC 002   Elective Course II 3 0 3 7.5
STAT 501   Theory of Statistics 3 0 3 7.5
STAT 503   Probability Theory 3 0 3 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 003   Elective Course III 3 0 3 7.5
ELEC 004   Elective Course IV 3 0 3 7.5
GSNS 595   Seminar 0 0 0 7.5
STAT 505   Applied Statistical Analysis 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
STAT 599   M.S. Thesis 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
STAT 599   M.S. Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ECON 517   Financial Econometrics 3 0 3 7.5
FM 506   Stochastic Processes in Finance 3 0 3 7.5
FM 551   Scientific Computation and Simulation in Finance 3 0 3 7.5
IE 502   Probabilistic Systems Analysis 3 0 3 7.5
IES 503   Artificial Intelligence 3 0 3 7.5
IES 508   System Simulation and Modeling 3 0 3 7.5
IES 509   Heuristics 3 0 3 7.5
IES 511   Machine Learning 3 0 3 7.5
IES 513   Mathematical Programming and Applications 3 0 3 7.5
IES 534   Nonlinear Programming 3 0 3 7.5
IES 570   Criptology and Computer Security 3 0 3 7.5
MATH 504   Statistics 3 0 3 7.5
MATH 505   Advanced Mathematical Analysis 3 0 3 7.5
MATH 508   Partial Differential Equations 3 0 3 7.5
MATH 553   Optimization 3 0 3 7.5
MATH 555   Financial Mathematics 3 0 3 7.5
MATH 600   Mathematics Softwares and Research Methods 3 0 3 7.5
MATH 601   Differential Equations 3 0 3 7.5
MATH 602   Advanced Linear Algebra and Optimization 3 0 3 7.5
MATH 670   Set Theoretic Topology 3 0 3 7.5
MATH 671   Fuzzy Optimization 3 0 3 7.5
MATH 672   Algebra 3 0 3 7.5
MATH 673   Computational Commutative Algebra 3 0 3 7.5
MATH 674   Group Theory and Its Applications 3 0 3 7.5
MATH 675   Applications of Modules and Representation Theory 3 0 3 7.5
STAT 502   Stochastic Processes 3 0 3 7.5
STAT 504   Nonparametric Statistics 3 0 3 7.5
STAT 506   Multivariate Statistics and the Theory of Copulas 3 0 3 7.5
STAT 551   Actuaria 3 0 3 7.5
STAT 552   Ordered Random Variables 3 0 3 7.5
STAT 553   Reliability 3 0 3 7.5
STAT 554   Statistical Process Control 3 0 3 7.5
STAT 555   Risk Analysis 3 0 3 7.5
STAT 556   Linear Statistical Models 3 0 3 7.5
STAT 557   Time Series Analysis 3 0 3 7.5
STAT 558   Design of Experiment 3 0 3 7.5
STAT 559   Advanced Probability Theory 3 0 3 7.5
STAT 560   Statistical Methods in Biology and Medical Sciences 3 0 3 7.5
STAT 561   Statistical Softwares and Simulation 3 0 3 7.5
STAT 562   Combinatorial Analysis and Discrete Distributions 3 0 3 7.5
STAT 563   Statistical Decision Theory 3 0 3 7.5
STAT 601   Probability Theory and Mathematical Statistics 3 0 3 7.5

The students studying in this second cycle program with thesis are required:

to take a minimum of 7 courses with a minimum of 21 local credits,  one seminar course, and a thesis.  (The seminar and thesis are non-credit and graded on a pass/fail basis.)

to succeed in all the courses with a letter grade of at least CC/S 

to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 120 ECTS credits.

B-2 FOREIGN NATIONALS:

To hold an Undergraduate Degree Diploma from a (4 year) higher education institution that is recognized by the Higher Education Board

To graduate from undergraduate program (4 year) of Departments of Industrial Engineering, System Engineering, Computer Sciences, Computer Engineering, Software Engineering, Electrical/ Electronics/Telecommunication Engineering, Information, Computer and Teaching Technologies Teaching,  Computer Education, Electrical Electronics Education, Computer Technologies, Mechatronics,  Mathematics, Physics, Business Administration, Logistics Management, or related departments to apply for Intelligent Engineering Systems master program,

To graduate from undergraduate program (4 year) of Departments Architecture, Interior Architecture, City and Regional Planning, and other related design fields to apply for Architecture master program,

To be exempt from foreign language proficiency, students need to meet the below requirements:

To be graduated from a higher education program in which the medium of instruction is the same language as in the master program applied for within three years following their graduation,

 To obtain the scores in the exams specified below, or obtain an equivalent score in the internationally recognized foreign language exams that are deemed equivalent to the exams specified below by the Higher Education Board.

 

Type of Exam

Score

KPDS ( Public Personnel Language Exam )

65

UDS ( Interuniversity Foreign Language Exam )

65

YDS (Foreign Language Placement Exam)

65

IYS (IUE Proficiency in English Exam)

65

 

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